Image Mosaicking Through Macro-Feature Affine Matching

This paper presents a new method for registering images related by 2-D affine transformations. The method is based on extracting macro-features from the images to register and matching the polar curves associated with their energies, defined as the squared Fourier transform magnitudes. Such matching is formulated as a simple minimization problem whose optimal solution if found with the Levenberg-Marquardt algorithm. The excellent performance of the algorithm is shown through a practical example of image mosaicking